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Classifying geometric variability by dominant eigenmodes of deformation in regressing tumours during active breath hold lung cancer radiotherapy

The purpose of this study is to develop and evaluate a lung tumour interfraction geometric variability classification scheme as a means to guide adaptive radiotherapy and improve measurement of treatment response. Principal component analysis (PCA) was used to generate statistical shape models of th...

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書誌詳細
主要な著者: Badawi, Ahmed M., Weiss, Elisabeth, Sleeman, William C., Hugo, Geoffrey D.
フォーマット: Artigo
言語:Inglês
出版事項: 2011
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3354576/
https://ncbi.nlm.nih.gov/pubmed/22172998
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/0031-9155/57/2/395
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